Senior Staff Software Engineer, Storage
Leads architectural vision and multi-year roadmap for AI-scale cloud storage systems, bridging NVMe hardware to distributed object stores. Requires 12+ years in distributed systems, systems programming in C/C++/Go/Rust, and deep storage protocol expertise.
About the job
What You’ll Be Working On
Architectural Vision & Strategy: Define and drive the long-term technical strategy for Crusoe’s storage engine. Identify industry trends (e.g., CXL, NVMe-oF) and integrate them into a cohesive roadmap.
System Programming Expertise: Leverage proven experience in system programming with languages such as C, C++, Go, and/or Rust to build the foundations of our V2 storage re-architecture.
Storage Protocols: Architect and implement solutions utilizing industry-standard storage protocols such as NFS, SMB, iSCSI, and NVMe/TCP.
Open Source Stewardship: Drive and maintain a track record of contributions to the open-source community (e.g., Ceph, GlusterFS, Lustre, Spectrum Scale, OpenEBS).
Technical Authority: Serve as the final arbiter for critical architecture decisions across the Foundations organization. Lead complex design reviews that intersect storage, networking, and virtualization.
Deep Performance Engineering: Lead "tiger teams" to solve the most ambiguous and difficult bottlenecks in the stack—from kernel-level IO context switching to global tail-latency in distributed clusters.
Strategic Collaboration: Work closely with Executive Leadership and Product to align technical capabilities with business milestones.
What You’ll Bring to the Team
Cloud Storage Expertise: 12+ years of experience building and operating large-scale, complex distributed cloud computing infrastructure products.
Troubleshooting & Tuning: Strong troubleshooting and performance tuning skills; ability to profile and optimize the entire IO path.
High-Drive Mindset: Self-motivation to thrive in a fast-paced environment with a high degree of ownership and minimal supervision.
Masters of Consistency & Durability: Deep theoretical and practical knowledge of distributed state and data protection at petabyte scale.
Software Engineering Fundamentals: Mastery of professional software engineering practices for the full SDLC, including coding standards, build processes, and testing.
Communication & Collaboration: Ability to champion and lead initiatives across the engineering organization, such as tech talks and technical reading groups.
Bonus Points
Public Cloud & AI/ML: Expertise in one or more Public Cloud offerings (AWS, GCP, Azure, OCI) and familiarity with AI/ML frameworks (PyTorch, Tensorflow, JAX) and MLOps.
High-Throughput I/O: Experience with cutting-edge I/O architectures like DAOS or SPDK.
Networking Foundations: Background in RDMA and high-performance networking, including SmartNICs and RoCEv2.
Distributed Systems Mastery: Experience with highly available and scalable systems such as Cassandra, MongoDB, Redis, or Kafka.
Theoretical Depth: Strong knowledge of distributed systems fundamentals including CAP Theorem, Paxos/RAFT, consistent hashing, and sharding strategies.
Benefits
- Competitive compensation
- Restricted Stock Units
- Paid time off & paid holidays
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
Compensation Range
Compensation will be paid in the range of up to $240,000 - $310,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
Skills
C++, C, Go, Rust, Ceph, Glusterfs, Lustre, Nvme/Tcp, Nfs, Iscsi, Smb, Spdk, Daos, Rdma, Rocev2
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